Evidence map›Paper›PMID 36857125›Full record

ReviewJMIR mHealth and uHealth2023

Menstrual Tracking Mobile App Review by Consumers and Health Care Providers: Quality Evaluations Study.

Siyeon Ko, Jisan Lee, Doyeon An, Hyekyung Woo

Full text readReview
In one paragraph

Review in JMIR mHealth and uHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Siyeon KoDepartment of Health Administration, College of Nursing & Health, Kongju National University, Gongju-Si, Chungcheongnam-do, Republic of Korea.ORCID 0000-0002-6610-6751
Jisan LeeDepartment of Nursing Science, College of Life & Health Sciences, Hoseo University, Asan-si, Chungcheongnam-do, Republic of Korea.ORCID 0000-0002-9039-7448
Doyeon AnDepartment of Health Administration, College of Nursing & Health, Kongju National University, Gongju-Si, Chungcheongnam-do, Republic of Korea.ORCID 0000-0002-7331-5404
Hyekyung WooDepartment of Health Administration, College of Nursing & Health, Kongju National University, Gongju-Si, Chungcheongnam-do, Republic of Korea.ORCID 0000-0001-5489-3404

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWomen's menstrual cycle is an important component of their overall health. Physiological cycles and associated symptoms can be monitored continuously and used as indicators in various fields. Menstrual apps are accessible and can be used to promote overall female health. However, no study has evaluated these apps' functionality from both consumers' and health care providers' perspectives. As such, the evidence indicating whether the menstrual apps available on the market provide user satisfaction is insufficient.

objectiveThis study was performed to investigate the key content and quality of menstrual apps from the perspectives of health care providers and consumers. We also analyzed the correlations between health care provider and consumer evaluation scores. On the basis of this analysis, we offer technical and policy recommendations that could increase the usability and convenience of future app.

methodsWe searched the Google Play Store and iOS App Store using the keywords "period" and "menstrual cycle" in English and Korean and identified relevant apps. An app that met the following inclusion criteria was selected as a research app: nonduplicate; with >10,000 reviews; last updated ≤180 days ago; relevant to this topic; written in Korean or English; available free of charge; and currently operational. App quality was evaluated by 6 consumers and 4 health care providers using Mobile Application Rating Scale (MARS) and user version of the Mobile Application Rating Scale (uMARS). We then analyzed the correlations among MARS scores, uMARS scores, star ratings, and the number of reviews.

resultsOf the 34 apps, 31 (91%) apps could be used to predict the menstrual cycle, and 2 (6%) apps provided information pertinent to health screening. All apps that scored highly in the MARS evaluation offer a symptom logging function and provide the user with personalized notifications. The "Bom Calendar" app had the highest MARS (4.51) and uMARS (4.23) scores. The MARS (2.22) and uMARS (4.15) scores for the "Menstrual calendar-ovulation & pregnancy calendar" app were different. In addition, there was no relationship between MARS and uMARS scores (r=0.32; P=.06).

conclusionsWe compared consumer and health care provider ratings for menstrual apps. Continuous monitoring of app quality from consumer and health care provider perspectives is necessary to guide their development and update content.

Indexed as

Mobile ApplicationsFemaleHealth PersonnelHumansPregnancyconsumerconsumer satisfactiondigital health appevaluationhealth care providerhealth screeningmenstrual appmenstrual cyclemHealthmobile appmobile healthperiodwomen’s health

Identifiers

PMID36857125
PMCPMC10018377

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read17
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.